Simone Rossi

1. All You Need is a Good Functional Prior for Bayesian Deep Learning
   2020/11/25 by Ba-Hien Tran, Tran, Ba-Hien, Simone Rossi +5 · 15 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
2. Clinical neurophysiology of aging brain: From normal aging to neurodegeneration
   2007/12/01 by Paolo M. Rossini, Simone Rossi, Claudio Babiloni +1 · 2 citations
3. Walsh-Hadamard Variational Inference for Bayesian Deep Learning
   2019/05/27 by Simone Rossi, Rossi, Simone, Sébastien Marmin +3 · 3 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning
4. Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
   2024/08/01 by Yixiao Wang, Wang, Yixiao, Chen Tang +19 · 5 citations
   Engineering · #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Traffic Prediction and Management Techniques #Vehicle Dynamics and Control Systems
5. Model Selection for Bayesian Autoencoders
   2021/06/11 by Ba-Hien Tran, Tran, Ba-Hien, Simone Rossi +9 · 2 citations
   Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Stabilization approaches for the hyperelastic immersed boundary method for problems of large-deformation incompressible elasticity
   2018/11/15 by Ben Vadala-Roth, Shashank Acharya, Vadala-Roth, Ben +7 · 1 citation
   Engineering · #Advanced Numerical Methods in Computational Mathematics #FOS: Mathematics #Fluid Dynamics and Vibration Analysis #Lattice Boltzmann Simulation Studies #Numerical Analysis (math.NA)
7. Sparse Gaussian Processes Revisited: Bayesian Approaches to\n Inducing-Variable Approximations
   2020/03/06 by Símone Rossi, Rossi, Simone, Heinonen, Markus +8 · 2 citations
   Computer Science · Engineering · Materials Science · Physics and Astronomy · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks
8. Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
   2023/11/23 by Marc Schachtsiek, Simone Rossi, Schachtsiek, Marc +3 · 1 citation
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms
9. How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
   2022/06/10 by Giulio Franzese, Simone Rossi, Lixuan Yang +4 · 1 voice
   Mathematics · Computer Science · #stat.ML #cs.LG
10. On permutation symmetries in Bayesian neural network posteriors: a variational perspective
    2023/10/16 by Simone Rossi, Ankit Singh, Rossi, Simone +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
11. Good Initializations of Variational Bayes for Deep Models
    2018/10/18 by Simone Rossi, Pietro Michiardi, Rossi, Simone +3 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning
    2025/04/22 by Zhe Huang, Simone Rossi, Huang, Zhe +5 · 2 citations
    Computer Science · #Machine Learning and Data Classification